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autosklearn/metrics/__init__.py

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@@ -148,7 +148,8 @@ def make_scorer(name, score_func, optimum=1, greater_is_better=True,
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``score_func(y, y_pred, **kwargs)``.
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optimum : int or float, default=1
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The best score achievable by the score function.
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The best score achievable by the score function, i.e. maximum in case of
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scorer function and minimum in case of loss function.
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greater_is_better : boolean, default=True
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Whether score_func is a score function (default), meaning high is good,

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